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[EPIC] WE 3.6.10 Measure logged-in reader retention baseline
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Description

Background

We do not have an existing measurement of user retention rate for logged-in Wikipedia readers (defined currently as someone who has 0 article edit count across all wikis), due to instrumentation only capturing specific "user touch" events, such as logging in or making a change in user preferences. This does not capture a logged-in user simply browsing and reading Wikipedia.

We will use a 1 month long sampled A/A test in TestKitchen to log the return frequency of a cohort of randomized users to get a better understanding of logged in user retention over that period. This baseline will be useful in helping us set key result goals for improving logged-in and active user retention on web next FY.

We are aiming to run the data collection from April 1 to May 1, 2026, across the top 50 trafficked wikis, to get a representative population of user retention.

Hypothesis Text: If we run an A/A test on retention rate for logged-in readers, we will establish a baseline for retention rate we can use for future quarters


Requirements

Acceptance criteria

  • Add clear acceptance criteria.

BDD

  • For QA engineer to fill out.

Test Steps

  • For QA engineer to fill out.

Communication criteria

Add if this needs an announcement or discussion.

Rollback plan

Describe the rollback plan in production for this task if something goes wrong.

This task was created by Version 1.0.0 of the Reader Experience team task template using phabulous.

Event Timeline

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HFan-WMF renamed this task from [EPIC] WE 3.6.? Measure logged-in reader retention baseline to [EPIC] WE 3.6.10 Measure logged-in reader retention baseline.Apr 1 2026, 5:47 PM